DEVELOPMENT OF SUSTAINABLE AND LOW-COST ANALYTICAL METHODS BY DIGITAL IMAGES
Digital images, RGB, Food safety
Considering the importance of ensuring food safety to protect public health, it is essential to control and monitor chemical substances in food. Therefore, this work proposes new analytical methodologies to achieve simplicity, speed, and low cost, providing efficient alternatives for food analysis. The thesis comprises two studies that combine colorimetric reactions with smartphones as analytical tools, utilizing the RGB color method of digital images for analyte quantification. Study 1 developed two methods for quantifying reducing sugars (RA) in milk and dairy products: one using direct image acquisition (DIA) and the other capturing images after centrifugation (CIA) of the colorimetric reaction solution with AR interaction. Both methods showed no statistically significant differences compared to the reference method, meeting validation criteria. Study 2 proposed two methods for quantifying aspartame in various beverages and antacids. An optimization of an existing UV-Vis spectrometry method was carried out by replacing the original solvent (isopropanol:methanol) with water to enhance sustainability. This optimization resulted in improved stability of colorimetric reactions with acceptable recovery values (84.41% - 109.19%). Additionally, the digital image method was developed, also yielding acceptable recovery values ranging from 89.34% to 112.66%. Both UV-Vis and digital image methods exhibited no statistically significant differences when determining concentrations in the samples. Thus, the work succeeded in developing more accessible methods, replacing toxic solvents and expensive equipment, enabling faster and environmentally sustainable analysis for quantifying analytes to ensure food safety.